Department of Genetics

Genomics Core

Mission

The Genomics Core serves the Einstein scientific community by providing a broad scala of services, utilizing current and emerging nucleic acid technologies. Microarrays, real-time PCR, Sanger sequencing and new, massively parallel sequencing (MPS; also known as next-gen sequencing) are available. The Core provides a number of technologies for genotyping DNA from humans or model organisms, varying from SNP (single nucleotide polymorphism) detecting to sequencing DNA for unknown variations. Furthermore, the Genomics Core performs quantitative CpG methylation analysis for the Epigenomics Core.

Services

DNA Sequencing & Genotyping Technologies

Traditional DNA sequencing (ABI 3730)- tubes for single samples or 96 well plates

SAMPLE SUBMISSION
Orders for all services may be placed through the Core’s Laboratory Information Management System, GeneSifter. Researchers and PIs enter sample information to track the status of their samples and receive data. To ease the entry of large numbers of sample names and information in the order forms look for the excel icon. Press this to download an excel table formatted for your current GeneSifter form. Fill it out with excel, then go back to the GeneSifter form and upload the file with the upload icon.

DATA ANALYSIS
Data is made available to researchers and their PIs through the Core’s Laboratory Information Management System, GeneSifter. The data is screened with appropriate quality control measures. The Genomics Core provides file formats that are ready for analysis. Assistance with retrieving data, instructions as to how to use the tools and more extensive data analysis on a fee-for-service basis are provided by the Computational Genomics Core (Link to the Computational Genomics Core).

Analytical resources are available to AECOM researchers at the Analytical Tools website maintained by the Computational Genomics Core. This site includes CLC Genomics Workbench, Ingenuity Pathway Analysis, R/BioConductor and more. Additional resources for microarray analyses are available at GenePattern.